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from caffe2.python import core
import caffe2.python.hypothesis_test_util as hu
import caffe2.python.serialized_test.serialized_test_util as serial
import hypothesis.strategies as st
from hypothesis import given, settings
import numpy as np
class TestFindOperator(serial.SerializedTestCase):
@given(n=st.sampled_from([1, 4, 8, 31, 79, 150]),
idxsize=st.sampled_from([2, 4, 8, 1000, 5000]),
**hu.gcs)
@settings(deadline=10000)
def test_find(self, n, idxsize, gc, dc):
maxval = 10
def findop(idx, X):
res = []
for j in list(X.flatten()):
i = np.where(idx == j)[0]
if len(i) == 0:
res.append(-1)
else:
res.append(i[-1])
print("Idx: {} X: {}".format(idx, X))
print("Res: {}".format(res))
return [np.array(res).astype(np.int32)]
X = (np.random.rand(n) * maxval).astype(np.int32)
idx = (np.random.rand(idxsize) * maxval).astype(np.int32)
op = core.CreateOperator(
"Find",
["idx", "X"],
["y"],
)
self.assertReferenceChecks(
device_option=gc,
op=op,
inputs=[idx, X],
reference=findop,
)
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